Chewy's Inventory Technology group is looking to build platforms for real-time inventory visibility, placement, and movement across the entire supply-chain network
Requirements
- Expertise in Java, Spring Boot, and micro-services running in AWS
- Strong grasp of distributed-system patterns (asynchronous messaging, event sourcing, eventual consistency)
- Proficiency with Git, CI/CD pipelines
- Experience with data-intensive architectures and observability stacks (Grafana, Datadog, Splunk)
- Working knowledge of modern front-end frameworks (React or Vue)
- Experience in high-volume e-commerce, logistics, or supply-chain domains
- Proficiency with AWS components like Lambda, SQS, DynamoDB, S3, and API Gateway
Responsibilities
- Build and develop distributed systems using Java 8+, Spring Boot, and AWS components like Lambda, SQS, DynamoDB, S3, and API Gateway
- Own features end-to-end: from RFC and architecture review through coding, deployment, and post-launch measurement
- Lead on-call rotations; drive root-cause analysis, observability improvements, and operational excellence
- Coach and improve engineers through design sessions, code reviews, and learning opportunities
- Influence product direction by translating ambiguous business problems into resilient, scalable solutions
- Advocate for standard methodologies in testing, secure coding, CI/CD, infrastructure-as-code (Terraform/CloudFormation), and performance tuning
- Collaborate multi-functionally with product, data science, fulfillment ops, and partner engineering teams to align roadmaps with business outcomes
Other
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience
- 7+ years of professional software-engineering experience (or 5+ with a track record of technical leadership on production scale systems)
- Excellent communication skills and comfort navigating ambiguity while balancing near-term execution with long-term strategy
- Ability to work with minimal mentorship
- Comfort with debating openly and committing fully to decisions
